Analysis Of Air Pollution By Using Raspberry Pi-IoT

With the massive rise in the population and the pollution caused by mechanization many times more. This leads to a decline in individual wellbeing, which affects the health of the whole population directly. An IOT-based air contamination observing scheme is proposed to track pollution levels and air quality through an internet-based web server. Sens ors that can sensor and collect data can be deployed at different locations. Big data can be accessed from any part of the globe through the Google cloud. The equipment suggested includes four factors, the air quality management module, the resonate intensity expose the sectors, the cloud observe the track and the alert module for anomalies. The suggested technology consists of four modules. Firstly, in view of the 5 air pollutant parameters, the air standard indicator is computed. The sensor senses the sound power. The cloud-based surveillance module ensures data are obtained using the Raspberry Pi WLAN module, which achieves the purpose ofperiodic data analysis. Finally, in case of an unexpected situation, the Anomaly Warning module warns the user.